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Variable pulse repetition interval SAR imaging method based on compressed sensing

A pulse repetition interval and imaging method technology, applied in the field of radar, can solve the problems of inability to perform high-precision imaging and non-sparse target spectrum

Active Publication Date: 2020-12-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] In order to solve the problem that the existing low oversampling Staggered SAR imaging algorithm is limited by the PRI slow change mode and the surface target spectrum is not sparse and cannot perform high-precision imaging, the present invention proposes a low oversampling based on Compressive Sensing (CS) SAR imaging method

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  • Variable pulse repetition interval SAR imaging method based on compressed sensing
  • Variable pulse repetition interval SAR imaging method based on compressed sensing
  • Variable pulse repetition interval SAR imaging method based on compressed sensing

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[0031] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the description of terms.

[0032] First define the following terms:

[0033] Definition 1. Staggered SAR system

[0034] The concept of Staggered SAR was first proposed by European Aeronautic Defense and Space Company N.V. (EADS) to solve the problem that traditional SAR cannot achieve high-precision, wide-swath imaging (reference 5: "The Staggered SAR concept: Imaging a wide continuous swath with high resolution” [C]. M. Villano, et al. 14th International Radar Symposium (IRS). IEEE, 2013, 2:679-684).

[0035] Definition 2. Distance compression

[0036]Range compression is a pulse compression processing technique aimed at obtaining well-focused images (Reference 6: "Digital processing of synthetic aperture radar data" [J]. Cumming I G, Wong FH. Artech house, 2005, 1(2) ...

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Abstract

The invention discloses a variable pulse repetition interval SAR imaging method based on compressed sensing, is applied to the technical field of radars, and aims at solving the problems that the existing low oversampling Staggered SAR imaging algorithm is limited by a pulse repetition interval (PRI) slow change mode and the frequency spectrum of a surface target is not sparse, so that high-precision imaging cannot be carried out. According to the method, range cell migration (RCM), non-uniform sampling and echo blocking loss are embedded into an optimization problem by using matrix multiplication of a three-dimensional tensor, a two-dimensional matrix and a Hadamard product respectively, an image without azimuth ambiguity is reconstructed by solving the optimization problem, and the imaging performance reconstructed by the method is not influenced by a low oversampling rate, the PRI slow transformation mode and a target type.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a SAR imaging technology. Background technique [0002] Synthetic Aperture Radar (SAR) has a long range and wide coverage, and has all-weather and all-weather earth observation capabilities. However, traditional SAR cannot achieve high-precision, wide-swath imaging. In order to solve this problem, the researchers proposed a SAR system using a variable pulse repetition interval (Pulse Repetition Interval, PRI)—Staggered SAR. [0003] In the published literature, the oversampling rate of Staggered SAR can be divided into two types: high oversampling rate (2.9-3.5) and low oversampling rate (1.1-1.5) from the azimuth direction. The representative methods for highly oversampled Staggered SAR imaging mainly include Best linear unbiased (BLU) (Reference 1: M. Villano, et al. "Staggered SAR: High resolution wide-swath imaging by continuous PRIvariation, "IEEE Trans.Geosci.Remote Sens., ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01S7/41G01S7/285G01S7/292
CPCG01S13/9094G01S13/90G01S7/418G01S7/285G01S7/292
Inventor 刘喆廖杏杏王迪武俊杰
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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